CN106096354A - A kind of unlocked by fingerprint method and terminal - Google Patents
A kind of unlocked by fingerprint method and terminal Download PDFInfo
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- CN106096354A CN106096354A CN201610369424.4A CN201610369424A CN106096354A CN 106096354 A CN106096354 A CN 106096354A CN 201610369424 A CN201610369424 A CN 201610369424A CN 106096354 A CN106096354 A CN 106096354A
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- fingerprint
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
- G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/98—Detection or correction of errors, e.g. by rescanning the pattern or by human intervention; Evaluation of the quality of the acquired patterns
- G06V10/993—Evaluation of the quality of the acquired pattern
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/12—Fingerprints or palmprints
- G06V40/1335—Combining adjacent partial images (e.g. slices) to create a composite input or reference pattern; Tracking a sweeping finger movement
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/12—Fingerprints or palmprints
- G06V40/1347—Preprocessing; Feature extraction
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/12—Fingerprints or palmprints
- G06V40/1365—Matching; Classification
Abstract
The embodiment of the invention discloses a kind of unlocked by fingerprint method and terminal, wherein the realization of method includes: obtain the first fingerprint image；Determine the target characteristic point number of described first fingerprint image；The target regulation parameter corresponding with described target characteristic point number is obtained according to the mapping relations between default feature point number with regulation parameter；Parameter acquisition the second fingerprint image is regulated according to described target；Described second fingerprint image is mated with preset fingerprint template；If described second fingerprint image and the success of described preset fingerprint template matching, then terminal is unlocked.Implement the embodiment of the present invention, it is possible to increase the efficiency of unlocked by fingerprint.
Description
Technical field
The present invention relates to electronic device field, particularly relate to a kind of unlocked by fingerprint method and terminal.
Background technology
Along with the fast development of information technology, the use of terminal (such as mobile phone, panel computer etc.) is more and more universal.Fingerprint
Identification technology as the standard configuration technology in terminal, fingerprint identification technology can be not only used for terminal unblock, wake up up, mobile payment
It is used widely in etc..While fingerprint identification technology is popular, in order to realize quick release, the unlocked time of terminal is also
It it is the direct concern of terminal manufacturer.
In actual application, user is often it can be seen that when finger overdrying or overly moist, need repeatedly to press fingerprint recognition mould
Group, its is possible to unlock successfully, thus, reduce unlocked by fingerprint efficiency.
Summary of the invention
Embodiments provide a kind of unlocked by fingerprint method and terminal, it is possible to increase the efficiency of unlocked by fingerprint.
The embodiment of the invention discloses a kind of unlocked by fingerprint method, including:
Obtain the first fingerprint image；
Determine the target characteristic point number of described first fingerprint image；
Obtain and described target characteristic point number according to the mapping relations between default feature point number and regulation parameter
Corresponding target regulation parameter；
Parameter acquisition the second fingerprint image is regulated according to described target；
Described second fingerprint image is mated with preset fingerprint template；
If described second fingerprint image and the success of described preset fingerprint template matching, then terminal is unlocked.
As the optional embodiment of one, the described target characteristic point number determining described first fingerprint image, including:
It is an isolated area that described first fingerprint image is divided into N, and described N is the integer more than 1；
According to the part isolated area in described N number of isolated area, determine the feature point number of unit are, as described
Target characteristic point number.
As the optional embodiment of one, the described target characteristic point number determining described first fingerprint image, including:
Extract the characteristic point of described first fingerprint image；
Add up the number of described characteristic point as described target characteristic point number.
As the optional embodiment of one, after described acquisition the first fingerprint image, and described determine described first
Before the target characteristic point number of fingerprint image, described method also includes:
Judge that whether described first fingerprint image is image or the image of wet finger of dry finger, if so, perform described
Determine the step of the target characteristic point number of described first fingerprint image.
As the optional embodiment of one, described judge described first fingerprint image be whether dry finger image or
The image of wet finger, including:
Extract the characteristic point of the subregion of described first fingerprint image；
Judge whether the number of the characteristic point of described subregion is less than predetermined threshold value, if, it is determined that described fingerprint image
Seem image or the image of described wet finger of described dry finger.
As the optional embodiment of one, described regulate parameter acquisition the second fingerprint image according to described target, including:
Pixel according to described target regulation parameter acquisition preset number is as described second fingerprint image.
As the optional embodiment of one, described acquisition the first fingerprint image, including:
When user presses fingerprint recognition module, determine the pickup area of described fingerprint recognition module；
Described n2 normal bottom data value is obtained, by institute by n2 normal induction electrode in described pickup area
N1 the abnormal induction electrode stating pickup area obtains described n1 abnormal bottom data value, described n1 abnormal bottom data value
Being described first fingerprint image with described n2 normal bottom data value, the induction electrode array of described fingerprint recognition module is at least
Including described n1 abnormal induction electrode and described n2 normal induction electrode, described n1, described n2 are positive integer；
The described n2 that described n2 normal induction electrode according to described fingerprint recognition module collects a normal bottom number
According to value, determine described n1 the bottom repair data value that described n1 abnormal induction electrode is corresponding；
The first fingerprint image is generated according to described n2 normal bottom data value and described n1 bottom repair data value.
Alternatively, described described n2 collected according to described n2 the normal induction electrode of described fingerprint recognition module
Normal bottom data value, determines described n1 the bottom repair data value that described n1 abnormal induction electrode is corresponding, including:
Described pickup area is divided into multiple isolated area, and wherein, in the plurality of isolated area, each isolated area is equal
Comprise multiple described normal bottom data value gathered by described normal induction electrode and at least one is by described abnormal faradism
The described abnormal bottom data value that pole gathers；
Determine the average of all described normal bottom data value in described isolated area i, and using described average as institute
Stating the bottom repair data value that the described abnormal induction electrode in isolated area i is corresponding, wherein said isolated area i is described many
Any one in individual isolated area.
Embodiment of the present invention second aspect discloses a kind of terminal, including:
First acquiring unit, for obtaining the first fingerprint image；
Determine unit, for determining the target characteristic point of described first fingerprint image of described first acquiring unit acquisition
Number；
Second acquisition unit, for obtaining and institute according to the mapping relations between default feature point number and regulation parameter
State the target regulation parameter determining that described target characteristic point number that unit determines is corresponding；
Collecting unit, for described target regulation parameter acquisition the second fingerprint image obtained according to described second acquisition unit
Picture；
Matching unit, is carried out for described second fingerprint image that gathered by described collecting unit and preset fingerprint template
Join；
Solve lock unit, if the matching result for described matching unit is described second fingerprint image and described preset fingerprint
Template matching success, then be unlocked terminal.
As the optional embodiment of one, described determine that unit includes:
Dividing module, for described first fingerprint image is divided into N number of isolated area, described N is the integer more than 1；
Determine module, for according to the part isolated area in described N number of isolated area, determine the characteristic point of unit are
Number, as described target characteristic point number.
As the optional embodiment of one, described determine that unit includes:
First extraction module, for extracting the characteristic point of described first fingerprint image；
Statistical module, special as described target for adding up the number of the described characteristic point that described first extraction module extracts
Levy a number.
As the optional embodiment of one, described terminal also includes:
Judging unit, for after described first acquiring unit obtains the first fingerprint image, it is judged that described first fingerprint image
Seem no be image or the image of wet finger of dry finger, when the judged result of described judging unit is for being, by described really
Cell determines the target characteristic point number of described first fingerprint image.
As the optional embodiment of one, described judging unit includes:
Second extraction module, for extracting the characteristic point of the subregion of described first fingerprint image；
Whether judge module, for judging the number of the characteristic point of described subregion that described second extraction module extracts
Less than predetermined threshold value, if, it is determined that described first fingerprint image is image or the figure of described wet finger of described dry finger
Picture.
As the optional embodiment of one, described collecting unit specifically for:
Pixel according to described target regulation parameter acquisition preset number is as described second fingerprint image.
As the optional embodiment of one, described first acquiring unit includes:
4th determines module, for when user presses fingerprint recognition module, determines the collection of described fingerprint recognition module
Region；
First acquisition module, obtains described n2 normal bottom by n2 normal induction electrode in described pickup area
Data value, obtains described n1 abnormal bottom data value by n1 of described pickup area abnormal induction electrode, and described n1 is individual
Abnormal bottom data value and described n2 normal bottom data value are described first fingerprint image, the sense of described fingerprint recognition module
Answering electrod-array at least to include described n1 abnormal induction electrode and described n2 normal induction electrode, described n1, described n2 are
Positive integer；
Repair module, for the described n2 collected according to described n2 the normal induction electrode of described fingerprint recognition module
Individual normal bottom data value, determines described n1 the bottom repair data value that described n1 abnormal induction electrode is corresponding；
Generation module, for according to the normal bottom data value of described n2 and described n1 bottom repair data value generation the
One fingerprint image.
Alternatively, described repair module includes:
Piecemeal module, for described pickup area being divided into multiple isolated area, wherein, every in the plurality of isolated area
One isolated area all comprises multiple described normal bottom data value gathered by described normal induction electrode and at least one is by institute
State the described abnormal bottom data value that abnormal induction electrode gathers；
5th determines module, for determining the average of all described normal bottom data value in described isolated area i, and
Using described average as bottom repair data value corresponding to the described abnormal induction electrode in described isolated area i, wherein said
Isolated area i is any one in the plurality of isolated area.
The embodiment of the present invention third aspect additionally provides a kind of terminal, including:
Processor, memorizer, communication interface, fingerprint recognition module and communication bus, described processor, described memorizer,
Described fingerprint recognition module and described communication interface are connected by described communication bus and complete mutual communicating；
Described memorizer storage has executable program code, and described fingerprint recognition module is used for obtaining fingerprint image, described
Communication interface is used for radio communication；
Described processor, for calling the described executable program code in described memorizer, performs such as the embodiment of the present invention
Part or all of step described in first aspect either method.
As can be seen from the above technical solutions, the embodiment of the present invention is had the advantage that and is determined by the first fingerprint image
Target characteristic point number, and obtain special with above-mentioned target according to the mapping relations between default feature point number and regulation parameter
Levy the target regulation parameter that a number is corresponding, then regulate parameter acquisition the second fingerprint image according to this target, and refer to second
After print image is successful with preset fingerprint template matching, terminal is unlocked, it is possible to increase the efficiency of unlocked by fingerprint.
Accompanying drawing explanation
For the technical scheme being illustrated more clearly that in the embodiment of the present invention, below by use required in embodiment
Accompanying drawing is briefly described, it should be apparent that, the accompanying drawing in describing below is some embodiments of the present invention, general for this area
From the point of view of logical technical staff, on the premise of not paying creative work, it is also possible to obtain other accompanying drawing according to these accompanying drawings.
Fig. 1 is the schematic flow sheet of the first embodiment of a kind of unlocked by fingerprint method disclosed in the embodiment of the present invention；
Fig. 2 is the schematic flow sheet of the second embodiment of a kind of unlocked by fingerprint method disclosed in the embodiment of the present invention；
Fig. 3 a is the structural representation of the first embodiment of a kind of terminal disclosed in the embodiment of the present invention；
Fig. 3 b is the structural representation of terminal cell really described in a kind of Fig. 3 a disclosed in the embodiment of the present invention；
Fig. 3 c is the structural representation of terminal cell really described in a kind of Fig. 3 a disclosed in the embodiment of the present invention；
Fig. 3 d is the another structural representation of the first embodiment of a kind of terminal disclosed in the embodiment of the present invention；
Fig. 3 e is the structural representation of the judging unit of terminal described in a kind of Fig. 3 d disclosed in the embodiment of the present invention；
Fig. 4 is the structural representation of the second embodiment of a kind of terminal disclosed in the embodiment of the present invention；
Fig. 5 is the structural representation of a kind of mobile phone disclosed in the embodiment of the present invention.
Detailed description of the invention
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Describe, it is clear that described embodiment is a part of embodiment of the present invention rather than whole embodiments wholely.Based on this
Embodiment in bright, the every other enforcement that those of ordinary skill in the art are obtained under not making creative work premise
Example, broadly falls into the scope of protection of the invention.
Term " first ", " second ", " the 3rd " and " in description and claims of this specification and described accompanying drawing
Four " it is etc. for distinguishing different object rather than for describing particular order.Additionally, term " includes " and " having " and it
Any deformation, it is intended that cover non-exclusive comprising.Such as contain series of steps or the process of unit, method, be
System, product or equipment are not limited to step or the unit listed, but the most also include step or the list do not listed
Unit, or the most also include other step intrinsic for these processes, method, product or equipment or unit.
Referenced herein " embodiment " is it is meant that the special characteristic, structure or the characteristic that describe can be wrapped in conjunction with the embodiments
It is contained at least one embodiment of the present invention.It is identical that each position in the description occurs that this phrase might not each mean
Embodiment, be not and the independent of other embodiments mutual exclusion or alternative embodiment.Those skilled in the art explicitly and
Implicitly being understood by, embodiment described herein can combine with other embodiments.
Terminal described by the embodiment of the present invention can include smart mobile phone (as Android phone, iOS mobile phone,
Windows Phone mobile phone etc.), panel computer, palm PC, notebook computer, mobile internet device (MID, Mobile
Internet Devices) or Wearable etc., above-mentioned terminal is only citing, and non exhaustive, including but not limited to above-mentioned end
End.
In implementing, in fingerprint recognition module, the regulation parameter of fingerprint identification chip mainly includes digital-to-analogue conversion side-play amount
(adc shift) and digital-to-analogue conversion increment (adc gain).Adc shift is for representing the side-play amount of digital to analog converter, such as,
Fingerprint collecting chip can gather 56*172 pixel, and wherein, each pixel is during fingerprint collecting chip adopts figure
A corresponding pixel value, then, 10752 pixel values will be obtained, wherein, by pixel value normalization (i.e. pixel value concentration
Between 0～1) after, it is generally the case that the size of major part pixel value can be distributed between 0.4-0.8, due to each pixel
Pixel value different, thus, a pixel scattergram can be formed.Adc shift can have several gear, if adc shift value
The highest, the whole pixel value that the scattergram of pixel is corresponding is the biggest, and fingerprint image will show the most black.Adc gain is used for
Representing the gain of index mould converter, gain is the biggest, and scattergram can more disperse, and gain is the least, and scattergram can more be concentrated, if distribution
Figure more dispersion, then the contrast of image is the highest, and pixel the most black in fingerprint image is the most black, in fingerprint image the most relatively
White pixel is the whitest.In fingerprint recognition module, the regulation parameter of fingerprint identification chip may also include that pixel gain pixel
Gain, pixel gain is for representing the gain of pixel, and pixel gain is determined by the electric capacity of amplifier in parallel, amplifier
Multiple electric capacity in parallel, each electric capacity all can be controlled by a switch, and switch closes the most, and gain is the biggest, pixel value
The biggest, signal intensity is the strongest.In actual applications, during the control of adc, pixel gain is fixing under normal circumstances.
Main by regulation regulation parameter adc shift and adc gain, wherein, adc shift is for adjusting the position of whole scattergram
Putting, adc gain is that the collection adjusting scattergram neutralizes deployment conditions.Such as, utilize user when pressing fingerprint recognition module, can lead to
Cross different regulation parameters to debug collection image, if adc shift and adc gain is respectively arranged with 5 gears, then just have 25
Individual combination, the most at most can gather 25 fingerprint images.
Still optionally further, regulation parameter at least includes digital-to-analogue conversion side-play amount and digital-to-analogue conversion increment, wherein, this digital-to-analogue
Transition deviation amount comprises M the first regulation stall, and this digital-to-analogue conversion delta package contains N number of second regulation stall, and wherein, M and N is
Integer more than 1, then, when terminal detects that fingerprint recognition module is pressed, by repeatedly from M the first regulation stall
Arbitrary first regulation stall chosen and N number of second regulation stall in arbitrary second regulation stall gather fingerprint, to obtain
Multiple fingerprint images.Preferably, available 3 fingerprint images, such as, by regulation, adc shift and adc gain is obtained 3
Individual fingerprint image, the respectively first fingerprint image, the second fingerprint image and the 3rd fingerprint image, will adc shift and adc
Gain all turns up full blast shelves, obtains the first fingerprint image；Adc shift and adc gain is all transferred to deep low gear, obtains second
Fingerprint image；Adc shift and adc gain is all transferred to middle gear, obtains the 3rd fingerprint image.
Refer to Fig. 1, for the first embodiment schematic flow sheet of a kind of unlocked by fingerprint method that the embodiment of the present invention provides.
Unlocked by fingerprint method described in the present embodiment, comprises the following steps:
101, the first fingerprint image is obtained.
In implementing, during user presses fingerprint recognition module, the partial fingerprints of user or complete can be gathered
Portion's fingerprint is as the first fingerprint image.
Alternatively, the first fingerprint image can be the fingerprint image gathered during user presses fingerprint recognition module,
Or, can be the fingerprint image being saved in this locality.
Still optionally further, the first fingerprint image can be the fingerprint image of a finger or the finger of multiple finger of user
Print image.
Alternatively, during user presses fingerprint recognition module, it may be determined that user presses described fingerprint recognition module
Effective range；Control fingerprint recognition module and gather the pixel in this effective range as the first fingerprint image.Further,
Can detect user contact each collection point in described fingerprint recognition module by surging；By this each collection point by surging
In be defined as effective range more than the collection point of a certain threshold value.Fingerprint recognition module and pressure transducer can be combined in one
Rise, then, when fingerprint recognition module is pressed, each collection point in fingerprint recognition module can be detected by pressure transducer
By surging, determine that the image that pressing dynamics is constituted more than the collection point of this certain threshold value is the first fingerprint image.
Alternatively, the mode obtaining the first fingerprint image also can be as follows:
When user presses fingerprint recognition module, determine the pickup area of described fingerprint recognition module；
Described n2 normal bottom data value is obtained, by institute by n2 normal induction electrode in described pickup area
N1 the abnormal induction electrode stating pickup area obtains described n1 abnormal bottom data value, described n1 abnormal bottom data value
Being described first fingerprint image with described n2 normal bottom data value, the induction electrode array of described fingerprint recognition module is at least
Including described n1 abnormal induction electrode and described n2 normal induction electrode, described n1, described n2 are positive integer；
The described n2 that described n2 normal induction electrode according to described fingerprint recognition module collects a normal bottom number
According to value, determine described n1 the bottom repair data value that described n1 abnormal induction electrode is corresponding；
The first fingerprint image is generated according to described n2 normal bottom data value and described n1 bottom repair data value.
Alternatively, described described n2 collected according to described n2 the normal induction electrode of described fingerprint recognition module
Normal bottom data value, determines described n1 the bottom repair data value that described n1 abnormal induction electrode is corresponding, can be:
Described pickup area is divided into multiple isolated area, and wherein, in the plurality of isolated area, each isolated area is equal
Comprise multiple described normal bottom data value gathered by described normal induction electrode and at least one is by described abnormal faradism
The described abnormal bottom data value that pole gathers；
Determine the average of all described normal bottom data value in described isolated area i, and using described average as institute
Stating the bottom repair data value that the described abnormal induction electrode in isolated area i is corresponding, wherein said isolated area i is described many
Any one in individual isolated area.I.e. in isolated area i, using bottom repair data value as the end of each abnormal induction electrode
Layer data value.By which, the normal bottom data value of the normal induction electrode in available arbitrary isolated area goes to repair
Abnormal bottom data value in this isolated area, thus so that the first fingerprint image quality is more preferable, so, and can be at the first fingerprint
Image extracts more characteristic point.
102, the target characteristic point number of described first fingerprint image is determined.
In implementing, the first fingerprint image can be carried out feature extraction, extract the characteristic point in the first fingerprint image, can
Using the number of characteristic point that obtains as target characteristic point number.
Alternatively, described first fingerprint image can be divided into N number of isolated area, described N is the integer more than 1；According to
Part isolated area in described N number of isolated area, determines the feature point number of unit are, as described target characteristic point
Number.First fingerprint image N number of isolated area be can be divided into, the part isolated area in this N number of isolated area, this portion randomly selected
Point isolated area can be one or more in N number of isolated area.Extract each isolated area in this part isolated area
Characteristic point, and according to the area of isolated area and the feature point number of total feature point number unit of account area, by this unit
The feature point number of area is as target characteristic point number.
Alternatively, the characteristic point of described first fingerprint image can be extracted；Add up the number of described characteristic point as described mesh
Mark feature point number.That is, extract characteristic points whole in the first fingerprint image, and the number of statistical nature point is as target characteristic
Point number, wherein, the algorithm of the characteristic point extracting the first fingerprint image can be with the algorithm of the characteristic point extracting preset fingerprint template
Unanimously.
103, obtain and described target characteristic point according to the mapping relations between default feature point number and regulation parameter
The target regulation parameter that number is corresponding.
In implementing, before implementing step 101, the mapping can set up between feature point number and regulation parameter is closed
System, concrete collection n times fingerprint image, and record feature point number each time.Just take wherein certain fingerprint image once gathered
Saying, the feature point number of this time recordable, then, be adjusted this fingerprint image, available optimal fingerprint image, by this
Time corresponding regulation parameter as the regulation parameter of this time.During n times gather fingerprint image, it may appear that a certain characteristic point
These many groups regulation parameters can be fitted by the regulation parameter of group more than number correspondence, or, optimization processes, to obtain one group of regulation
Parameter.
104, parameter acquisition the second fingerprint image is regulated according to described target.
In implementing, parameter acquisition can be regulated based on target, obtain the second fingerprint image.
Alternatively, according to described target regulation parameter acquisition preset number pixel as described second fingerprint image,
Wherein, preset number can be specified by being used for, or, by system default.
105, described second fingerprint image is mated with preset fingerprint template.
In implementing, extract the first fingerprint lines of the second fingerprint image, at the first fingerprint lines and preset fingerprint mould
During the second fingerprint lines coupling of plate, if matching value reaches certain threshold value, then it is believed that the first fingerprint lines and preset fingerprint mould
The match is successful for second fingerprint lines of plate, if matching value is not up to this certain threshold value, then it is believed that the first fingerprint lines is with default
It fails to match for second fingerprint lines of fingerprint template.The characteristic point of the second fingerprint image, such as Harris angle point, yardstick can be extracted
Invariant features conversion (Scale-invariant feature transform, SIFT) angle point, then, can comparison gather the
The fisrt feature point of two fingerprint images and the second feature point of preset fingerprint template mate, if matching value reaches certain threshold
Value, then it is believed that the fisrt feature point of the second fingerprint image is successful with the second feature Point matching of preset fingerprint template, if coupling
Value not up to this certain threshold value, then it is believed that the second feature point of the fisrt feature point of the second fingerprint image and preset fingerprint template
It fails to match.
If 106 described second fingerprint images and the success of described preset fingerprint template matching, then terminal is unlocked.
In implementing, when the second fingerprint image and preset fingerprint template matching success, terminal can be unlocked or
Certain application in terminal is unlocked by person.Such as, it is in terminal and puts out under screen state, terminal is unlocked, terminal
Display screen is lighted, and shows the desktop after unblock；Or, under terminal is in bright screen state, terminal is unlocked, display
Desktop after unblock；Or, it is under released state in terminal, at least one application of terminal can be unlocked, i.e. open
This at least one application dynamic or show the default page of a certain application in this at least one application；Or, it is in terminal
Put out under screen state, at least one application of terminal can be unlocked, i.e. start this at least one application or show that this is at least
The default page of a certain application in one application.The default page of a certain application can be a certain default page, or, last
The page of display when user closes this application, or, open the page that frequency is the highest or the displaying time is the longest.
It can be seen that determine target characteristic point number by the first fingerprint image, and according to default feature point number with
Mapping relations between regulation parameter obtain the target regulation parameter corresponding with above-mentioned target characteristic point number, then according to this mesh
Mark regulation parameter acquisition the second fingerprint image, and after the second fingerprint image with the success of preset fingerprint template matching, to terminal
It is unlocked, it is possible to increase the efficiency of unlocked by fingerprint.
Refer to Fig. 2, for the second embodiment schematic flow sheet of a kind of unlocked by fingerprint method that the embodiment of the present invention provides.
Unlocked by fingerprint method described in the present embodiment, comprises the following steps:
201, the first fingerprint image is obtained.
202, judge that whether described first fingerprint image is image or the image of wet finger of dry finger.
In implementing, owing to the fingerprint lines in the fingerprint image of dry finger is intermittent, and the fingerprint image of wet finger
The fingerprint image larger area fingerprint lines obfuscation of picture, is almost hard to tell fingerprint lines, thus, can be by fingerprint image be entered
Row is analyzed, it is judged that whether fingerprint image comes from dry finger or wet finger.
Alternatively, can by extracting the patterned feature of the first fingerprint image, with the first fingerprint image of judging whether from
In dry finger or wet finger.If the lines of the first fingerprint image is intermittent, then this first fingerprint image belongs to dry finger, if
When occurring the fingerprint lines obfuscation of larger area in the first fingerprint image, then this first fingerprint image belongs to wet finger.
Alternatively, the characteristic point of the first fingerprint image can be extracted；Judge the number of the characteristic point of described first fingerprint image
Whether less than the second predetermined threshold value, if, it is determined that described first fingerprint image is the image of described dry finger or described wet
The image of finger.
Alternatively, the characteristic point of the subregion of the first fingerprint image can be extracted；Judge the characteristic point of the first fingerprint image
Number whether less than predetermined threshold value, if, it is determined that the first fingerprint image is image or the image of wet finger of dry finger.
Wherein, subregion can be the appointment region in the first fingerprint image, such as, and pre-with the center of the first fingerprint image as round dot
If the region of size.Subregion can be the random areas in the first fingerprint image.Wherein, predetermined threshold value can be fixed threshold,
Or, predetermined threshold value can be relevant to the area of the first fingerprint image.
Alternatively, can judge to be in by the number of characteristic point by extracting the number of the characteristic point of the first fingerprint image
Preset range.Wherein, this preset range may be less than first threshold, and such as, first threshold can be to preset the first fingerprint image
Certain percentage ratio of feature point number, such as, 50%, or, first threshold is certain value of system default.Further, should
Preset range can be to be between Second Threshold and the 3rd threshold value, and wherein, Second Threshold is less than the 3rd threshold value, and the 3rd threshold value can be
Preset certain percentage ratio of the feature point number of the first fingerprint image, such as, 50%, or, the 3rd threshold value is system default
Certain value, Second Threshold can be certain percentage ratio of the feature point number presetting the first fingerprint image, such as, 30%, or, the
Two threshold values are certain value of system default.Under normal conditions, the feature point number of dry finger or wet finger is less, and terminal can
The number of the characteristic point taken the fingerprint, such as, if the number of this feature point is less than first threshold, then illustrates coming from of this fingerprint
Dry finger or wet finger.
203, the target characteristic point number of described first fingerprint image is if so, determined.
If it is not, then can directly according to acquiescence regulation parameter acquisition fingerprint image, or, directly by the first fingerprint image with
Preset fingerprint template is mated, and when the match is successful, is unlocked terminal.
204, obtain and described target characteristic point according to the mapping relations between default feature point number and regulation parameter
The target regulation parameter that number is corresponding.
205, parameter acquisition the second fingerprint image is regulated according to described target.
206, described second fingerprint image is mated with preset fingerprint template.
If 207 described second fingerprint images and the success of described preset fingerprint template matching, then terminal is unlocked.
Wherein, step 201 and step 203-step 207 refer to the step of the unlocked by fingerprint method described in Fig. 1
101-step 106.
It can be seen that when the image of the image that the first fingerprint image is dry finger or wet finger, it may be determined that first refers to
Print image determines target characteristic point number, and according to the mapping relations between default feature point number and regulation parameter obtain with
The target regulation parameter that above-mentioned target characteristic point number is corresponding, then regulates parameter acquisition the second fingerprint image according to this target,
And after the second fingerprint image with the success of preset fingerprint template matching, terminal is unlocked, it is possible to increase unlocked by fingerprint
Efficiency, and when the image of the image that the first fingerprint image is dry finger or wet finger, it is effectively reduced the unblock time of user
Number, improves the unblock efficiency of user.
Refer to Fig. 3 a, for the first embodiment structural representation of a kind of terminal that the embodiment of the present invention provides.This enforcement
Terminal described in example, including: the first acquiring unit 301, determines unit 302, second acquisition unit 303, collecting unit
304, matching unit 305 conciliates lock unit 306, specific as follows:
First acquiring unit 301, for obtaining the first fingerprint image；
Determine unit 302, special for determining the target of described first fingerprint image of described first acquiring unit 301 acquisition
Levy a number；
Second acquisition unit 303, for obtaining according to the mapping relations between default feature point number and regulation parameter
The target regulation parameter corresponding with the described described target characteristic point number determining that unit 302 determines；
Collecting unit 304, for the described target regulation parameter acquisition second obtained according to described second acquisition unit 303
Fingerprint image；
Matching unit 305, for described second fingerprint image and the preset fingerprint template that are gathered by described collecting unit 304
Mate；
Solve lock unit 306, if the matching result for described matching unit 305 is that described second fingerprint image is pre-with described
If the match is successful for fingerprint template, then terminal is unlocked.
Alternatively, the cell 302 really of the terminal as shown in Fig. 3 b, Fig. 3 a includes:
Dividing module 3021, for described first fingerprint image is divided into N number of isolated area, described N is whole more than 1
Number；
Determine module 3022, for according to the part isolated area in described N number of isolated area, determine the spy of unit are
Levy a number, as described target characteristic point number.
Alternatively, the cell 302 really of the terminal as shown in Fig. 3 c, Fig. 3 a includes:
First extraction module 307, for extracting the characteristic point of described first fingerprint image；
Statistical module 308, for adding up the number of the described characteristic point that described first extraction module 307 extracts as described
Target characteristic point number.
Alternatively, the terminal as shown in Fig. 3 d, Fig. 3 a may also include that
Judging unit 309, for after described first acquiring unit 301 obtains the first fingerprint image, it is judged that described first
Whether fingerprint image is image or the image of wet finger of dry finger, when the judged result of described judging unit 309 is for being,
Determined that unit 302 determines the target characteristic point number of described first fingerprint image by described.
Still optionally further, such as Fig. 3 e, the described judging unit 309 of terminal as shown in Figure 3 d comprises the steps that
Second extraction module 3091, for extracting the characteristic point of the subregion of described first fingerprint image；
Judge module 3092, for judging the characteristic point of the described subregion of described second extraction module 3091 extraction
Number whether less than predetermined threshold value, if, it is determined that described first fingerprint image is the image of described dry finger or described wet
The image of finger.
Alternatively, above-mentioned collecting unit 304 specifically for:
Pixel according to described target regulation parameter acquisition preset number is as described second fingerprint image.
It can be seen that the terminal described by the embodiment of the present invention can determine target characteristic point by the first fingerprint image
Number, and obtain corresponding with above-mentioned target characteristic point number according to the mapping relations between default feature point number with regulation parameter
Target regulation parameter, then according to this target regulate parameter acquisition the second fingerprint image, and the second fingerprint image with preset
Terminal after the match is successful, is unlocked, it is possible to increase the efficiency of unlocked by fingerprint by fingerprint template.
Refer to Fig. 4, for the second example structure schematic diagram of a kind of terminal that the embodiment of the present invention provides.The present embodiment
Described in terminal, including at least one input equipment 1000；At least one outut device 2000；At least one processor
3000, such as CPU；With memorizer 4000, above-mentioned input equipment 1000, outut device 2000, processor 3000 and memorizer
4000 and communication interface (not marking in figure) connected by bus 5000.
Wherein, above-mentioned input equipment 1000 concretely contact panel, physical button or mouse, fingerprint recognition module etc.
Deng.
Above-mentioned outut device 2000 concretely display screen.
Above-mentioned memorizer 4000 can be high-speed RAM memorizer, it is possible to for non-labile memorizer (non-volatile
Memory), such as disk memory.Above-mentioned memorizer 4000 is used for storing batch processing code, above-mentioned input equipment 1000, defeated
Go out equipment 2000 and processor 3000 for calling in memorizer 4000 program code of storage, perform following operation:
Obtain the first fingerprint image；
Determine the target characteristic point number of described first fingerprint image；
Obtain and described target characteristic point number according to the mapping relations between default feature point number and regulation parameter
Corresponding target regulation parameter；
Parameter acquisition the second fingerprint image is regulated according to described target；
Described second fingerprint image is mated with preset fingerprint template；
If described second fingerprint image and the success of described preset fingerprint template matching, then terminal is unlocked.
Alternatively, above-mentioned input equipment 1000, outut device 2000 and processor 3000 are used for calling in memorizer 4000
The program code of storage, for determining the target characteristic point number of described first fingerprint image, including:
Described first fingerprint image is divided into N number of isolated area, and described N is the integer more than 1；
According to the part isolated area in described N number of isolated area, determine the feature point number of unit are, as described
Target characteristic point number.
Alternatively, above-mentioned input equipment 1000, outut device 2000 and processor 3000 are used for calling in memorizer 4000
The program code of storage, for determining the target characteristic point number of described first fingerprint image, including:
Extract the characteristic point of described first fingerprint image；
Add up the number of described characteristic point as described target characteristic point number.
Alternatively, above-mentioned input equipment 1000, outut device 2000 and processor 3000 are used for calling in memorizer 4000
The program code of storage, is used for after obtaining the first fingerprint image, and determines the target characteristic of described first fingerprint image
Before some number,
Judge that whether described first fingerprint image is image or the image of wet finger of dry finger, if so, perform described
Determine the step of the target characteristic point number of described first fingerprint image.
Alternatively, above-mentioned input equipment 1000, outut device 2000 and processor 3000 are used for calling in memorizer 4000
The program code of storage, for judging that whether described first fingerprint image is image or the image of wet finger of dry finger, bag
Include:
Extract the characteristic point of the subregion of described first fingerprint image；
Judge whether the number of the characteristic point of described subregion is less than predetermined threshold value, if, it is determined that described fingerprint image
Seem image or the image of described wet finger of described dry finger.
Alternatively, above-mentioned input equipment 1000, outut device 2000 and processor 3000 are used for calling in memorizer 4000
The program code of storage, for regulating parameter acquisition the second fingerprint image according to described target, including:
Pixel according to described target regulation parameter acquisition preset number is as described second fingerprint image.
Alternatively, above-mentioned input equipment 1000, outut device 2000 and processor 3000 are used for calling in memorizer 4000
The program code of storage, for obtaining the first fingerprint image, including:
When user presses fingerprint recognition module, determine the pickup area of described fingerprint recognition module；
Described n2 normal bottom data value is obtained, by institute by n2 normal induction electrode in described pickup area
N1 the abnormal induction electrode stating pickup area obtains described n1 abnormal bottom data value, described n1 abnormal bottom data value
Being described first fingerprint image with described n2 normal bottom data value, the induction electrode array of described fingerprint recognition module is at least
Including described n1 abnormal induction electrode and described n2 normal induction electrode, described n1, described n2 are positive integer；
The described n2 that described n2 normal induction electrode according to described fingerprint recognition module collects a normal bottom number
According to value, determine described n1 the bottom repair data value that described n1 abnormal induction electrode is corresponding；
The first fingerprint image is generated according to described n2 normal bottom data value and described n1 bottom repair data value.
Alternatively, above-mentioned input equipment 1000, outut device 2000 and processor 3000 are used for calling in memorizer 4000
The program code of storage, for described n2 collected according to described n2 the normal induction electrode of described fingerprint recognition module
Normal bottom data value, determines described n1 the bottom repair data value that described n1 abnormal induction electrode is corresponding, including:
Described pickup area is divided into multiple isolated area, and wherein, in the plurality of isolated area, each isolated area is equal
Comprise multiple described normal bottom data value gathered by described normal induction electrode and at least one is by described abnormal faradism
The described abnormal bottom data value that pole gathers；
Determine the average of all described normal bottom data value in described isolated area i, and using described average as institute
Stating the bottom repair data value that the described abnormal induction electrode in isolated area i is corresponding, wherein said isolated area i is described many
Any one in individual isolated area.
Fig. 5 is illustrated that the block diagram of the part-structure of the mobile phone relevant to the terminal of embodiment of the present invention offer.With reference to figure
5, mobile phone includes: radio frequency (Radio Frequency, RF) circuit 510, memorizer 520, input block 530, display unit 540,
Sensor 550, voicefrequency circuit 560, Wireless Fidelity (Wireless Fidelity, WiFi) module 570, processor 580 and
Power supply 590 parts such as grade.It will be understood by those skilled in the art that the handset structure shown in Fig. 5 is not intended that the restriction to mobile phone,
Can include that ratio illustrates more or less of parts, or combine some parts, or different parts are arranged.
Below in conjunction with Fig. 5 each component parts of mobile phone carried out concrete introduction:
RF circuit 510 can be used for receiving and sending messages or in communication process, the reception of signal and transmission, especially, by base station
After downlink information receives, process to processor 580；It addition, be sent to base station by designing up data.Generally, RF circuit 510
Include but not limited to antenna, at least one amplifier, transceiver, bonder, low-noise amplifier (Low Noise
Amplifier, LNA), duplexer etc..Additionally, RF circuit 510 can also be communicated with network and other equipment by radio communication.
Above-mentioned radio communication can use arbitrary communication standard or agreement, includes but not limited to global system for mobile communications (Global
System of Mobile communication, GSM), general packet radio service (General Packet Radio
Service, GPRS), CDMA (Code Division Multiple Access, CDMA), WCDMA
(Wideband Code Division Multiple Access, WCDMA), Long Term Evolution (Long Term Evolution,
LTE), Email, Short Message Service (Short Messaging Service, SMS) etc..
Memorizer 520 can be used for storing software program and module, and processor 580 is stored in memorizer 520 by operation
Software program and module, thus perform mobile phone various functions application and data process.Memorizer 520 can mainly include
Storage program area and storage data field, wherein, storage program area can store the application journey needed for operating system, at least one function
Sequence (such as sound-playing function, image player function etc.) etc.；Storage data field can store what the use according to mobile phone was created
Data (such as voice data, phone directory etc.) etc..Additionally, memorizer 520 can include high-speed random access memory, it is also possible to
Including nonvolatile memory, for example, at least one disk memory, flush memory device or other volatile solid-state
Part.
Input block 530 can be used for receiving numeral or the character information of input, and produce with the user setup of mobile phone with
And function controls relevant key signals input.Specifically, input block 530 can include that contact panel 531 and other inputs set
Standby 532.Contact panel 531, also referred to as touch screen, can collect user thereon or neighbouring touch operation (such as user uses
Any applicable object such as finger, stylus or adnexa operation on contact panel 531 or near contact panel 531), and root
Corresponding attachment means is driven according to formula set in advance.Optionally, contact panel 531 can include touch detecting apparatus and touch
Two parts of controller.Wherein, the touch orientation of touch detecting apparatus detection user, and detect the signal that touch operation brings,
Transmit a signal to touch controller；Touch controller receives touch information from touch detecting apparatus, and is converted into touching
Point coordinates, then give processor 580, and order that processor 580 sends can be received and performed.Furthermore, it is possible to use electricity
The polytypes such as resistive, condenser type, infrared ray and surface acoustic wave realize contact panel 531.Except contact panel 531, input
Unit 530 can also include other input equipments 532.Specifically, other input equipments 532 can include but not limited to secondary or physical bond
One or more in dish, function key (such as volume control button, switch key etc.), trace ball, mouse, action bars etc..
Display unit 540 can be used for the various of the information that inputted by user of display or the information being supplied to user and mobile phone
Menu.Display unit 540 can include display floater 541, optionally, can use liquid crystal display (Liquid Crystal
Display, LCD), the form such as Organic Light Emitting Diode (Organic Light-Emitting Diode, OLED) configure aobvious
Show panel 541.Further, contact panel 531 can cover display floater 541, when contact panel 531 detects thereon or attached
After near touch operation, send processor 580 to determine the type of touch event, with preprocessor 580 according to touch event
Type corresponding visual output is provided on display floater 541.Although in Figure 5, contact panel 531 and display floater 541
It is to realize input and the input function of mobile phone as two independent parts, but in some embodiments it is possible to by touch-control
Panel 531 is integrated with display floater 541 and realizes input and the output function of mobile phone.
Mobile phone may also include at least one sensor 550, such as optical sensor, motion sensor and other sensors.
Specifically, optical sensor can include ambient light sensor and proximity transducer, and wherein, ambient light sensor can be according to ambient light
Light and shade regulate the brightness of display floater 541, proximity transducer can cut out display floater 541 when mobile phone moves in one's ear
And/or backlight.As the one of motion sensor, accelerometer sensor can detect (generally three axles) acceleration in all directions
Size, can detect that size and the direction of gravity time static, can be used for identify mobile phone attitude application (such as horizontal/vertical screen is cut
Change, dependent game, magnetometer pose calibrating), Vibration identification correlation function (such as pedometer, percussion) etc.；Also may be used as mobile phone
Other sensors such as the gyroscope of configuration, barometer, drimeter, thermometer, infrared ray sensor, do not repeat them here.
Voicefrequency circuit 560, speaker 561, microphone 562 can provide the audio interface between user and mobile phone.Audio-frequency electric
The signal of telecommunication after the voice data conversion that road 560 can will receive, is transferred to speaker 561, speaker 561 is converted to sound
Signal exports；On the other hand, the acoustical signal of collection is converted to the signal of telecommunication by microphone 562, voicefrequency circuit 560 turn after receiving
It is changed to voice data, then after voice data output processor 580 is processed, through RF circuit 510 to be sent to such as another mobile phone,
Or voice data is exported to memorizer 520 to process further.
WiFi belongs to short range wireless transmission technology, and mobile phone can help user's transceiver electronics postal by WiFi module 570
Part, browsing webpage and access streaming video etc., it has provided the user wireless broadband internet and has accessed.Although Fig. 5 shows
WiFi module 570, but it is understood that, it is also not belonging to must be configured into of mobile phone, can not change as required completely
Omit in the scope of the essence becoming invention.
Processor 580 is the control centre of mobile phone, utilizes various interface and the various piece of the whole mobile phone of connection, logical
Cross operation or perform to be stored in the software program in memorizer 520 and/or module, and calling and be stored in memorizer 520
Data, perform the various functions of mobile phone and process data, thus mobile phone is carried out integral monitoring.Optionally, processor 580 can wrap
Include one or more processing unit；Preferably, processor 580 can integrated application processor and modem processor, wherein, should
Mainly process operating system, user interface and application program etc. with processor, modem processor mainly processes radio communication.
It is understood that above-mentioned modem processor can not also be integrated in processor 580.
Mobile phone also includes the power supply 590 (such as battery) powered to all parts, it is preferred that power supply can pass through power supply pipe
Reason system is logically contiguous with processor 580, thus realizes management charging, electric discharge and power managed by power-supply management system
Etc. function.
Although not shown, mobile phone can also include photographic head, bluetooth module etc., does not repeats them here.
In previous embodiment, each step method flow process can structure based on this terminal realize.Wherein sensor 550 or
Contact panel 531 can use as fingerprint recognition module.
The embodiment of the present invention also provides for a kind of computer-readable storage medium, and wherein, this computer-readable storage medium can store journey
Sequence, this program includes the part or all of step of any unlocked by fingerprint method described in said method embodiment when performing
Suddenly.
Although combine each embodiment invention has been described at this, but, implementing the present invention for required protection
During, those skilled in the art are by checking described accompanying drawing, disclosure and appended claims, it will be appreciated that and real
Other changes of existing described open embodiment.In the claims, " include " that (comprising) word is not excluded for other compositions
Part or step, "a" or "an" is not excluded for multiple situations.Single processor or other unit can realize claim
In some functions enumerating.Mutually different has been recited in mutually different dependent some measure, it is not intended that these are arranged
Executing to combine produces good effect.
It will be understood by those skilled in the art that embodiments of the invention can be provided as method, device (equipment) or computer journey
Sequence product.Therefore, in terms of the present invention can use complete hardware embodiment, complete software implementation or combine software and hardware
The form of embodiment.And, the present invention can use in one or more calculating wherein including computer usable program code
The upper computer program implemented of machine usable storage medium (including but not limited to disk memory, CD-ROM, optical memory etc.)
The form of product.Computer program is stored/distributed in suitable medium, provides or as the one of hardware together with other hardware
Part, it would however also be possible to employ other distribution forms, as by Internet or other wired or wireless telecommunication system.
The present invention be with reference to the method for the embodiment of the present invention, device (equipment) and computer program flow chart with/
Or block diagram describes.It should be understood that can by each flow process in computer program instructions flowchart and/or block diagram and/
Or the flow process in square frame and flow chart and/or block diagram and/or the combination of square frame.These computer program instructions can be provided
To the processor of general purpose computer, special-purpose computer, Embedded Processor or other programmable data processing device to produce one
Individual machine so that the instruction performed by the processor of computer or other programmable data processing device is produced for realizing
The device of the function specified in one flow process of flow chart or multiple flow process and/or one square frame of block diagram or multiple square frame.
These computer program instructions may be alternatively stored in and computer or other programmable data processing device can be guided with spy
Determine in the computer-readable memory that mode works so that the instruction being stored in this computer-readable memory produces and includes referring to
Make the manufacture of device, this command device realize at one flow process of flow chart or multiple flow process and/or one square frame of block diagram or
The function specified in multiple square frames.
These computer program instructions also can be loaded in computer or other programmable data processing device so that at meter
Perform sequence of operations step on calculation machine or other programmable devices to produce computer implemented process, thus at computer or
The instruction performed on other programmable devices provides for realizing at one flow process of flow chart or multiple flow process and/or block diagram one
The step of the function specified in individual square frame or multiple square frame.
Although in conjunction with specific features and embodiment, invention has been described, it is clear that, without departing from this
In the case of bright spirit and scope, it can be carried out various amendment and combination.Correspondingly, the specification and drawings is only institute
The exemplary illustration of the present invention that attached claim is defined, and be considered as covering arbitrarily repairing in the scope of the invention with all
Change, change, combine or equivalent.Obviously, those skilled in the art the present invention can be carried out various change and modification and not
Depart from the spirit and scope of the present invention.So, if the present invention these amendment and modification belong to the claims in the present invention and
Within the scope of equivalent technologies, then the present invention is also intended to comprise these change and modification.
Claims (13)
1. a unlocked by fingerprint method, it is characterised in that including:
Obtain the first fingerprint image；
Determine the target characteristic point number of described first fingerprint image；
Obtain corresponding with described target characteristic point number according to the mapping relations between default feature point number with regulation parameter
Target regulation parameter；
Parameter acquisition the second fingerprint image is regulated according to described target；
Described second fingerprint image is mated with preset fingerprint template；
If described second fingerprint image and the success of described preset fingerprint template matching, then terminal is unlocked.
Method the most according to claim 1, it is characterised in that the described target characteristic point determining described first fingerprint image
Number, including:
Described first fingerprint image is divided into N number of isolated area, and described N is the integer more than 1；
According to the part isolated area in described N number of isolated area, determine the feature point number of unit are, as described target
Feature point number.
Method the most according to claim 1, it is characterised in that the described target characteristic point determining described first fingerprint image
Number, including:
Extract the characteristic point of described first fingerprint image；
Add up the number of described characteristic point as described target characteristic point number.
4. according to the method described in any one of claims 1 to 3, it is characterised in that after described acquisition the first fingerprint image, with
And before the described target characteristic point number determining described first fingerprint image, described method also includes:
Judge that whether described first fingerprint image is image or the image of wet finger of dry finger, if so, perform described to determine
The step of the target characteristic point number of described first fingerprint image.
Method the most according to claim 4, it is characterised in that described judge whether described first fingerprint image is dry finger
Image or the image of wet finger, including:
Extract the characteristic point of the subregion of described first fingerprint image；
Judge whether the number of the characteristic point of described subregion is less than predetermined threshold value, if, it is determined that described fingerprint image is
The image of described dry finger or the image of described wet finger.
6. according to the method described in any one of claims 1 to 3, it is characterised in that described according to described target regulation parameter adopt
Collect the second fingerprint image, including:
Pixel according to described target regulation parameter acquisition preset number is as described second fingerprint image.
7. a terminal, it is characterised in that including:
First acquiring unit, for obtaining the first fingerprint image；
Determine unit, for determining the target characteristic point number of described first fingerprint image of described first acquiring unit acquisition；
Second acquisition unit, for according to default feature point number and regulation parameter between mapping relations obtain with described really
The target regulation parameter that described target characteristic point number that cell determines is corresponding；
Collecting unit, for described target regulation parameter acquisition the second fingerprint image obtained according to described second acquisition unit；
Matching unit, mates with preset fingerprint template for described second fingerprint image gathered by described collecting unit；
Solve lock unit, if the matching result for described matching unit is described second fingerprint image and described preset fingerprint template
The match is successful, then be unlocked terminal.
Terminal the most according to claim 7, it is characterised in that described determine that unit includes:
Dividing module, for described first fingerprint image is divided into N number of isolated area, described N is the integer more than 1；
Determine module, for according to the part isolated area in described N number of isolated area, determining the characteristic point of unit are
Number, as described target characteristic point number.
Terminal the most according to claim 7, it is characterised in that described determine that unit includes:
First extraction module, for extracting the characteristic point of described first fingerprint image；
Statistical module, for adding up the number of the described characteristic point that described first extraction module extracts as described target characteristic
Point number.
10. according to the terminal described in any one of claim 7 to 9, it is characterised in that described terminal also includes:
Judging unit, for after described first acquiring unit obtains the first fingerprint image, it is judged that described first fingerprint image is
No is image or the image of wet finger of dry finger, when the judged result of described judging unit is for being, described determines list
Unit determines the target characteristic point number of described first fingerprint image.
11. terminals according to claim 10, it is characterised in that described judging unit includes:
Second extraction module, for extracting the characteristic point of the subregion of described first fingerprint image；
Judge module, for judging whether the number of the characteristic point of the described subregion of described second extraction module extraction is less than
Predetermined threshold value, if so, determines image or the image of described wet finger that described first fingerprint image is described dry finger.
12. according to the terminal described in any one of claim 7 to 9, it is characterised in that described collecting unit specifically for:
Pixel according to described target regulation parameter acquisition preset number is as described second fingerprint image.
13. 1 kinds of terminals, it is characterised in that including:
Processor, memorizer, communication interface, fingerprint recognition module and communication bus, described processor, described memorizer, described
Fingerprint recognition module and described communication interface are connected by described communication bus and complete mutual communicating；
Described memorizer storage has executable program code, described fingerprint recognition module to be used for obtaining fingerprint image, described communication
Interface is used for radio communication；
Described processor, for calling the described executable program code in described memorizer, performs as any in claim 1-6
One described method.
Priority Applications (7)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610369424.4A CN106096354B (en) | 2016-05-27 | 2016-05-27 | A kind of unlocked by fingerprint method and terminal |
| CN201710807807.XA CN107563170B (en) | 2016-05-27 | 2016-05-27 | Fingerprint unlocking method and related product |
| PCT/CN2017/083082 WO2017202187A1 (en) | 2016-05-27 | 2017-05-04 | Fingerprint unlocking method and terminal |
| EP17169799.8A EP3249578B1 (en) | 2016-05-27 | 2017-05-05 | Fingerprint unlocking method and terminal |
| ES17169799T ES2738684T3 (en) | 2016-05-27 | 2017-05-05 | Fingerprint unlock method and terminal |
| US15/593,083 US10248836B2 (en) | 2016-05-27 | 2017-05-11 | Fingerprint unlocking method and terminal |
| US15/810,186 US10061969B2 (en) | 2016-05-27 | 2017-11-13 | Fingerprint unlocking method and terminal |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610369424.4A CN106096354B (en) | 2016-05-27 | 2016-05-27 | A kind of unlocked by fingerprint method and terminal |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710807807.XA Division CN107563170B (en) | 2016-05-27 | 2016-05-27 | Fingerprint unlocking method and related product |
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| CN106096354A true CN106096354A (en) | 2016-11-09 |
| CN106096354B CN106096354B (en) | 2017-10-24 |
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| CN201610369424.4A Active CN106096354B (en) | 2016-05-27 | 2016-05-27 | A kind of unlocked by fingerprint method and terminal |
| CN201710807807.XA Active CN107563170B (en) | 2016-05-27 | 2016-05-27 | Fingerprint unlocking method and related product |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710807807.XA Active CN107563170B (en) | 2016-05-27 | 2016-05-27 | Fingerprint unlocking method and related product |
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| Country | Link |
|---|---|
| US (2) | US10248836B2 (en) |
| EP (1) | EP3249578B1 (en) |
| CN (2) | CN106096354B (en) |
| ES (1) | ES2738684T3 (en) |
| WO (1) | WO2017202187A1 (en) |
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| CN107368816A (en) * | 2017-07-26 | 2017-11-21 | 北京集创北方科技股份有限公司 | Biological feather recognition method, biometric devices and detecting system |
| WO2017202187A1 (en) * | 2016-05-27 | 2017-11-30 | Guangdong Oppo Mobile Telecommunications Corp., Ltd. | Fingerprint unlocking method and terminal |
| CN107454251A (en) * | 2017-07-13 | 2017-12-08 | 广东欧珀移动通信有限公司 | Solve lock control method and Related product |
| CN107665340A (en) * | 2017-09-22 | 2018-02-06 | 北京小米移动软件有限公司 | Fingerprint identification method, device, electronic equipment |
| CN107729828A (en) * | 2017-09-30 | 2018-02-23 | 杭州喆岸科技有限公司 | A kind of fingerprint image acquisition method, electronic equipment, storage medium and system |
| CN107832666A (en) * | 2017-09-30 | 2018-03-23 | 北京集创北方科技股份有限公司 | Fingerprint identification method and device |
| CN108345824A (en) * | 2017-01-24 | 2018-07-31 | 创智能科技股份有限公司 | Fingerprint authentication method and electronic device |
| CN109670417A (en) * | 2018-12-03 | 2019-04-23 | 北京集创北方科技股份有限公司 | Fingerprint identification method and device |
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| KR101639986B1 (en) * | 2015-10-07 | 2016-07-15 | 크루셜텍 (주) | Fingerprint information processing method and apparatus for speed improvement of fingerprint registration and authentification |
| CN105550647B (en) * | 2015-12-08 | 2019-03-15 | Oppo广东移动通信有限公司 | Control method, control device and electronic device |
| CN108197550A (en) | 2017-12-28 | 2018-06-22 | 北京小米移动软件有限公司 | Fault cues method, apparatus and electronic equipment |
| CN108171165B (en) * | 2017-12-28 | 2021-10-22 | 北京小米移动软件有限公司 | Fingerprint identification method and device and computer readable storage medium |
| CN110390188A (en) * | 2018-04-16 | 2019-10-29 | 南昌欧菲生物识别技术有限公司 | Account authentication method, account authentication device and mouse |
| US10733280B2 (en) * | 2018-06-05 | 2020-08-04 | International Business Machines Corporation | Control of a mobile device based on fingerprint identification |
| CN109189540B (en) * | 2018-09-13 | 2022-07-12 | Oppo广东移动通信有限公司 | Electronic equipment control method and system and electronic equipment |
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Also Published As
| Publication number | Publication date |
|---|---|
| EP3249578A1 (en) | 2017-11-29 |
| US20180068167A1 (en) | 2018-03-08 |
| EP3249578B1 (en) | 2019-06-05 |
| US10248836B2 (en) | 2019-04-02 |
| CN107563170B (en) | 2020-04-21 |
| WO2017202187A1 (en) | 2017-11-30 |
| CN107563170A (en) | 2018-01-09 |
| CN106096354B (en) | 2017-10-24 |
| US10061969B2 (en) | 2018-08-28 |
| ES2738684T3 (en) | 2020-01-24 |
| US20170344796A1 (en) | 2017-11-30 |
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